Signal Processing and Biomedical Imaging Lab (SBILab) at IIIT-Delhi, led by Prof. Anubha Gupta.
IIIT-Delhi
Joined June 2019
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📢 Research Opportunity | | IIIT-Delhi
SBILab & HMI Lab, IIIT-Delhi are inviting applications for a PTS-III position under @DrAnubhaGupta and @ProfJainendra
For eligibility and job descriptions, please look for the advertisement on the IIIT-Delhi website.
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📢 Research Opportunity | | IIIT-Delhi
SBILab & HMI Lab, IIIT-Delhi are inviting applications for 3 PRS–I (Non-Medical) positions under @DrAnubhaGupta and @ProfJainendra
For eligibility and job descriptions, please look for the advertisement on the IIIT-Delhi website.
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Our paper accepted at International Conference on Machine Learning 2026
Uncovering the Latent Potential of Deep Intermediate Representations Congrats to @ArneshBatr87629 , @Arushthegarlic, @anikeX15,@JashnKhemani and Prof. @DrAnubhaGupta Thanks to @IIITDelhi and @iiitdcai
Thrilled to share that the paper “Task-Lens: Cross-Task Utility Based Speech Dataset Profiling for Low-Resource Indian Languages” from our lab has been accepted at #LREC2026 🎉 by Divya Sharma and Swati Sharma, under the supervision of Prof @DrAnubhaGupta.
#NLP #SpeechDataset
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📢 New publication from our lab!
Our study on the association between retinal arteriovenous (AV) ratio and coronary artery disease severity in acute & chronic coronary syndromes is now published in the Indian Heart Journal.
sciencedirect.com/science/ar…
#Research #CAD #Retinal
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Prof. @DrAnubhaGupta highlighted the importance of interpretable, human-centric AI for healthcare, with insights from WSI and AI-supported risk staging at Annual Nepal AI School 2025. Hands-on learning was led by @JiviteshSabhar1 , translating theory into practice.
#ANAIS2025
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PhD Defense Success!
Congratulations to Ashutosh Vaish from our lab on successfully defending his PhD thesis,
“Accelerated Reconstruction of HARDI Data and Fiber Orientation Estimation.”
The work advances efficient and reliable diffusion MRI analysis.
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A series of three talks on AI for cardiovascular & cancer research was delivered by Prof. @DrAnubhaGupta at Université Côte d’Azur (Sept 22–30, 2025), supported by the Franco-Indian Campus in Life Sciences (SSHN).
Grateful to Vicente Zarzoso & Frédéric Mallet (i3S).
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We were delighted to host @CSSeelamantula, Professor at the Indian Institute of Science.
His visit sparked insightful discussions on research, innovation, and interdisciplinary approaches, enriching our team and students.
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Prof. @DrAnubhaGupta shared powerful insights at MAMC MedTechX (Maulana Azad Medical College) on building trust, aligning goals, and driving innovation through rapid prototyping and collaboration.
Healthcare innovation thrives when clinicians, engineers & industry work together.
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SBILab retweeted
📢 Excited to release IndicSynth, a large-scale synthetic speech dataset for 12 low-resource Indian languages — winner of the Outstanding Paper Award at #ACL2025! 🏆
🔗 Dataset: huggingface.co/datasets/vdiv…
📄 Paper: aclanthology.org/2025.acl-lo…
#SBILab #IIITD #NLProc #ACL2025NLP
SBILab retweeted
We are proud to share that the paper “IndicSynth: A Large-Scale Multilingual Synthetic Speech Dataset for Low-Resource Indian Languages” from @SBILabIIITD has received the Outstanding Paper Award at ACL 2025 (@aclmeeting), one of the most prestigious conferences in computational linguistics and natural language processing.
IndicSynth introduces 4000 hours of synthetic speech from 989 target speakers, including 456 females and 533 males, across 12 Indian languages to facilitate multilingual audio deepfake detection and anti-spoofing research.
This recognition is the result of the dedicated work of PhD scholar Divya Sharma, who was guided by Prof. @DrAnubhaGupta. Divya’s technical rigour, clarity of thought, and confident presentation at ACL were central to the success of this work. Her presentation at ACL and engagement during the Q&A demonstrated the calibre of a confident and capable NLP researcher. We also acknowledge the valuable contributions of undergraduate student Vijval Ekbote, whose support strengthened the project.
Congratulations to the entire team at SBILab for this important recognition and for driving impactful research in Indian language technologies.
#SBILab #IIITD #NLProc #ACL2025NLP #SpeechProcessing #MachineLearning #MultilingualAI #SyntheticSpeech #DeepfakeDetection
#ACL2025 #ResearchExcellence
Paper titled "A comprehensive targeted panel of 295 genes: Unveiling key disease initiating and transformative biomarkers in multiple myeloma", by V. Ruhela, R. Gupta (AIIMS), R. Oberoi, @DrAnubhaGupta (IIIT-D) has been published in the Computers in Biology and Medicine Journal.
Paper titled "Differentiating presence in virtual reality using physiological signals", by Shuvodeep Saha (UQ- Australia), Chelsea D. (UQ-Australia), @DrAnubhaGupta (IIIT-D), Arindam D. (UQ-Australia) has been published in the prestigious Pervasive and Mobile Computing Journal.
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Paper titled "ARTEC: Accelerated Reconstruction of High Angular Resolution Diffusion Imaging with Trajectory Error Correction", by Ashutosh Vaish (IIIT-D), @DrAnubhaGupta (IIIT-D), Ajit Rajwade (IIT-B) has been published in the prestigious Digital Signal Processing Journal.
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Thrilled to share that our paper "IndicSynth: A Large-Scale Multilingual Synthetic Speech Dataset for Low-Resource Indian Languages" has been accepted to ACL 2025! Kudos to team V. Divya Sharma, Vijval Ekbote and @DrAnubhaGupta SBILab, IIITD for their work!
#IIITD #ACL2025NLP
Paper titled "Unified framework for linear scale invariant signals, systems, and transforms: A tutorial", by @DrAnubhaGupta (IIIT-D), Pushpendra S. (JNU), Priya Aggarwal (IIIT-D), Shiv D. J. (IIT-D) has been published in the prestigious Digital Signal Processing Journal.
Paper titled "PP-CNN: probabilistic pooling CNN for enhanced image classification", by Narendra K.M (IIT-D), Pushpendra S. (JNU), @DrAnubhaGupta (IIIT-D), Shiv D. J. (IIT-D) has been published in the prestigious Neural Computing & Applications Journal.
Paper titled "Multiscale Feature Learning and Cross Spatial Attention in Mask R-CNN for enhanced Cell Instance Segmentation", by Dipankar J., Rachita S., Isha S., @DrAnubhaGupta , Anish J. (IIITD) and Dr. Ritu Gupta (AIIMS) has been published in the prestigious IJML Journal.
Paper titled "On the hypercomplex numbers and normed division algebras in all dimensions: A unified multiplication", by Prof. Pushpendra Singh (JNU Delhi),
@DrAnubhaGupta (SBILab, IIIT-D), and Prof. Shiv Dutt Joshi (IIT-D) has been published in the prestigious PLOS ONE Journal.